ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P1-Q09
会議情報
2P1-Q09 グラフ構造化に基づく状況マイ二ングシステムの開発(デジタルヒューマン)
松永 岳人北村 光司西田 佳史竹村 裕
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会議録・要旨集 フリー

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Despite the pervasiveness of situation data such as incident report and situation report, we have the lack of a mothod for describing and analyzing situation data. In this research, the authors propose a new system for situational structure analysis by formulating situation analysis as a problem of graph structural analysis. The proposed system consistes of two basic functions: a function for graph-structuralizing and function for situation data-mining. The graph-structuralizing function allows users to create a semantic graph from free-description sentence on situation. The data-mining function allows users to conduct clustering and search similar situations. To prove the effectiveness of the developed system, we analyzed 818 child bicycle accident data.
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© 2012 一般社団法人 日本機械学会
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